Hello respectful readers. I am Mutasim Abubakar known as fulplan a bug bounty hunter and cybersecurity enthusiasm in today’s write-up. I…Continue reading on Medium » (https://fulplan.medium.com/a-web-server-for-bug-bounty-hunters-part-1-feb5ad68821a?source=rss------bug_bounty-5)
A Web Server For Bug Bounty Hunters (Part 1)
Hello respectful readers. I am Mutasim Abubakar known as fulplan a bug bounty hunter and cybersecurity enthusiasm in today’s write-up. I…Continue reading on Medium »
Read more...
Hello respectful readers. I am Mutasim Abubakar known as fulplan a bug bounty hunter and cybersecurity enthusiasm in today’s write-up. I…Continue reading on Medium »
Read more...
Black Hat Ethical Hacking
FontOnLake malware infects Linux systems
FontOnLake malware infects Linux systems
Black Hat Ethical Hacking
FontOnLake malware infects Linux systems | Black Hat Ethical Hacking
A newly discovered malware family has been infecting Linux systems concealed in legitimate binaries. Dubbed FontOnLake, the threat delivers backdoor and rootkit components.
$300,000 RCE @ Wordpress
An analysis of the current state of Wordpress and whether the price tag is deserved.Continue reading on Medium »
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An analysis of the current state of Wordpress and whether the price tag is deserved.Continue reading on Medium »
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Hacking Articles Tips Tricks Videos Tutorials
Photo
hacking: security in practice
Japan's Aims to Make its Cybersecurity More Powerful
https://external-preview.redd.it/Ww49wSehxXP5ZbliVXtWC6fyNaAEjH2jRZi5noUIyHQ.jpg?width=640&crop=smart&auto=webp&s=b2338022ad1c47adab1ec1c98d7aa1a8ac064827 submitted by /u/george-alexander2k
[link] [comments]
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@Hacking_Video
Japan's Aims to Make its Cybersecurity More Powerful
https://external-preview.redd.it/Ww49wSehxXP5ZbliVXtWC6fyNaAEjH2jRZi5noUIyHQ.jpg?width=640&crop=smart&auto=webp&s=b2338022ad1c47adab1ec1c98d7aa1a8ac064827 submitted by /u/george-alexander2k
[link] [comments]
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@Hacking_Video
reddit
Japan's Aims to Make its Cybersecurity More Powerful
Posted in r/hacking by u/george-alexander2k • 2 points and 0 comments
An analysis of the current state of Wordpress and whether the price tag is deserved.Continue reading on Medium » (https://medium.com/@_ip_/300-000-rce-wordpress-29700ad6a993?source=rss------bug_bounty-5)
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@hacking_Attack
@Hacking_Video
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@Hacking_Video
Medium
$300,000 RCE @ Wordpress
An analysis of the current state of Wordpress and whether the price tag is deserved.
Hacking Articles Tips Tricks Videos Tutorials
Photo
Hacking on Medium
A Web Server For Bug Bounty Hunters (Part 1)
https://cdn-images-1.medium.com/max/1920/1*ZHgUws5rwKn6ndqyLObZLg.jpeg
To be able to completely compromise a server, you have to understand the theory of a web server and its architecture. A web server is…
Continue reading on Medium »
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@hacking_Attack
@Hacking_Video
A Web Server For Bug Bounty Hunters (Part 1)
https://cdn-images-1.medium.com/max/1920/1*ZHgUws5rwKn6ndqyLObZLg.jpeg
To be able to completely compromise a server, you have to understand the theory of a web server and its architecture. A web server is…
Continue reading on Medium »
___________________________
@hacking_Attack
@Hacking_Video
Medium
A Web Server For Bug Bounty Hunters (Part 1)
To be able to completely compromise a server, you have to understand the theory of a web server and its architecture. A web server is…
Hacking Articles Tips Tricks Videos Tutorials
Photo
Hacking on Medium
A Complete Guide About CSRF
https://cdn-images-1.medium.com/max/1415/1*5b9CjlYVsqUmTfNYsvzNbw.png
Before proceeding to CSRF we need to know some basics about Session Management in Web applications.
Continue reading on Medium »
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@Hacking_Video
A Complete Guide About CSRF
https://cdn-images-1.medium.com/max/1415/1*5b9CjlYVsqUmTfNYsvzNbw.png
Before proceeding to CSRF we need to know some basics about Session Management in Web applications.
Continue reading on Medium »
___________________________
@hacking_Attack
@Hacking_Video
Medium
A Complete Guide About CSRF
Before proceeding to CSRF we need to know some basics about Session Management in Web applications.
Hacking Articles Tips Tricks Videos Tutorials
Photo
Hacking on Medium
[HackTheBox] Arctic
https://cdn-images-1.medium.com/max/1692/1*UCOTKbAD4L-LuVho23TozA.png
This is a slow box but once you get going, its a breeze.
Continue reading on Medium »
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@hacking_Attack
@Hacking_Video
[HackTheBox] Arctic
https://cdn-images-1.medium.com/max/1692/1*UCOTKbAD4L-LuVho23TozA.png
This is a slow box but once you get going, its a breeze.
Continue reading on Medium »
___________________________
@hacking_Attack
@Hacking_Video
Medium
[HackTheBox] Arctic
This is a slow box but once you get going, its a breeze.
Install Kali Linux Tools in Windows WSL for Bug Hunting/Pentesting
Objectives:Continue reading on Medium »
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Objectives:Continue reading on Medium »
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BruteLoops - Protocol Agnostic Online Password Guessing API
A dead simple library providing the foundational logic for efficient password brute force attacks against authentication interfaces. See various Wiki sections for more information. A "modular" example is included with the library that demonstrates how to use this package. It's fully functional and provides multiple brute force modules. Below is a sample of its capabilities: authentication module for training/testing ">http.accellion_ftp Accellion FTP HTTP interface login modulehttp.basic_digest Generic HTTP basic digest authhttp.basic_ntlm Generic HTTP basic NTLM authenticationhttp.global_protect Global Protect web interfacehttp.mattermost Mattermost login web interfacehttp.netwrix Netwrix web loginhttp.okta Okta JSON APIhttp.owa2010 OWA 2010 web interfacehttp.owa2016 OWA 2016 web interfacesmb.smb Target a single SMB servertesting.fake Fake authentication module for training/testing Key Features Protocol agnostic - If a callback can be written in Python, BruteLoops can be used to attack it SQLite support - All usernames, passwords, and credentials are maintained in an SQLite database. A companion utility (dbmanager.py) that creates and manages input databases accompanies BruteLoops Spray and Stuffing Attacks in One Tool - BruteLoops supports both spray and stuffing attacks in the same attack logic and database, meaning that you can configure a single database and run the attack without heavy reconfiguration and confusion. Guess scheduling - Each username in the SQLite database is configured with a timestamp that is updated after each authentication event. This means we can significantly reduce likelihood of locking accounts by scheduling each authentication event with precision. Fine-grained configurability to avoid lockout events - Microsoft's lockout policies can be matched 1-to-1 using BruteLoop's parameters: auth_threshold = Lockout Threshold max_auth_jitter = Lockout Observation Window Timestampes associated with each authentication event are tracked in BruteLoops' SQLite database. Each username receives a distinct timestamp to assure that authentication events are highly controlled. Attack resumption - Stopping and resuming an attack is possible without worrying about losing your place in the attack or locking accounts. Multiprocessing - Speed up attacks using multiprocessing! By configuring the`parallel guess count, you're effectively telling BruteLoops how many usernames to guess in parallel. Logging - Each authentication event can optionally logged to disk. This information can be useful during red teams by providing customers with a detailed attack timeline that can be mapped back to logged events. Dependencies BruteLoops requires Python3.7 or newer and SQLAlchemy 1.3.0, the latter of which can be obtained via pip and the requirements.txt file in this repository: python3.7 -m pip install -r requirements.txt Installation git clone https://github.com/arch4ngel/bruteloopscd bruteloopspython3 -m pip install -r requirements.txt How do I use this Damn Thing? Jeez, alright already...we can break an attack down into a few steps: Find an attackable service If one isn't already available in the example.py1 directory, build a callback Find some usernames, passwords, and credentials Construct a database by passing the authentication data to dbmanager.py2 If relevant, Enumerate or request the AD lockout policy to intelligently configure the attack Execute the attack in alignment with the target lockout policy134 Download BruteLoops
Read more...
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@hacking_Attack
@Hacking_Video
A dead simple library providing the foundational logic for efficient password brute force attacks against authentication interfaces. See various Wiki sections for more information. A "modular" example is included with the library that demonstrates how to use this package. It's fully functional and provides multiple brute force modules. Below is a sample of its capabilities: authentication module for training/testing ">http.accellion_ftp Accellion FTP HTTP interface login modulehttp.basic_digest Generic HTTP basic digest authhttp.basic_ntlm Generic HTTP basic NTLM authenticationhttp.global_protect Global Protect web interfacehttp.mattermost Mattermost login web interfacehttp.netwrix Netwrix web loginhttp.okta Okta JSON APIhttp.owa2010 OWA 2010 web interfacehttp.owa2016 OWA 2016 web interfacesmb.smb Target a single SMB servertesting.fake Fake authentication module for training/testing Key Features Protocol agnostic - If a callback can be written in Python, BruteLoops can be used to attack it SQLite support - All usernames, passwords, and credentials are maintained in an SQLite database. A companion utility (dbmanager.py) that creates and manages input databases accompanies BruteLoops Spray and Stuffing Attacks in One Tool - BruteLoops supports both spray and stuffing attacks in the same attack logic and database, meaning that you can configure a single database and run the attack without heavy reconfiguration and confusion. Guess scheduling - Each username in the SQLite database is configured with a timestamp that is updated after each authentication event. This means we can significantly reduce likelihood of locking accounts by scheduling each authentication event with precision. Fine-grained configurability to avoid lockout events - Microsoft's lockout policies can be matched 1-to-1 using BruteLoop's parameters: auth_threshold = Lockout Threshold max_auth_jitter = Lockout Observation Window Timestampes associated with each authentication event are tracked in BruteLoops' SQLite database. Each username receives a distinct timestamp to assure that authentication events are highly controlled. Attack resumption - Stopping and resuming an attack is possible without worrying about losing your place in the attack or locking accounts. Multiprocessing - Speed up attacks using multiprocessing! By configuring the`parallel guess count, you're effectively telling BruteLoops how many usernames to guess in parallel. Logging - Each authentication event can optionally logged to disk. This information can be useful during red teams by providing customers with a detailed attack timeline that can be mapped back to logged events. Dependencies BruteLoops requires Python3.7 or newer and SQLAlchemy 1.3.0, the latter of which can be obtained via pip and the requirements.txt file in this repository: python3.7 -m pip install -r requirements.txt Installation git clone https://github.com/arch4ngel/bruteloopscd bruteloopspython3 -m pip install -r requirements.txt How do I use this Damn Thing? Jeez, alright already...we can break an attack down into a few steps: Find an attackable service If one isn't already available in the example.py1 directory, build a callback Find some usernames, passwords, and credentials Construct a database by passing the authentication data to dbmanager.py2 If relevant, Enumerate or request the AD lockout policy to intelligently configure the attack Execute the attack in alignment with the target lockout policy134 Download BruteLoops
Read more...
___________________________
@hacking_Attack
@Hacking_Video
BruteLoops - Protocol Agnostic Online Password Guessing API
http://www.kitploit.com/2021/10/bruteloops-protocol-agnostic-online.html
___________________________
@hacking_Attack
@Hacking_Video
http://www.kitploit.com/2021/10/bruteloops-protocol-agnostic-online.html
___________________________
@hacking_Attack
@Hacking_Video
Kitploit
Kitploit – Maintenance in Progress
Kitploit is temporarily under maintenance. We’ll be back shortly with improvements.
authentication module for training/testing ">http.accellion_ftp Accellion FTP HTTP interface login module
http.basic_digest Generic HTTP basic digest auth
http.basic_ntlm Generic HTTP basic NTLM authentication
http.global_protect
Global Protect web interface
http.mattermost Mattermost login web interface
http.netwrix Netwrix web login
http.okta Okta JSON API
http.owa2010 OWA 2010 web interface
http.owa2016 OWA 2016 web interface
smb.smb Target a single SMB server
testing.fake Fake authentication module for training/testing
Key Features
Protocol agnostic - If a callback can be written in Python, BruteLoops can be used to attack it SQLite support - All usernames, passwords, and credentials are maintained in an SQLite database. A companion utility (dbmanager.py) that creates and manages input databases accompanies BruteLoops Spray and Stuffing Attacks in One Tool - BruteLoops supports both spray and stuffing attacks in the same attack logic and database, meaning that you can configure a single database and run the attack without heavy reconfiguration and confusion. Guess scheduling - Each username (https://www.kitploit.com/search/label/Username) in the SQLite database is configured with a timestamp that is updated after each authentication event. This means we can significantly reduce likelihood of locking accounts by scheduling each authentication event with precision. Fine-grained configurability to avoid lockout events - Microsoft's lockout policies can be matched 1-to-1 using BruteLoop's parameters: auth_threshold = Lockout Threshold max_auth_jitter = Lockout Observation Window Timestampes associated with each authentication event are tracked in BruteLoops' SQLite database. Each username receives a distinct timestamp to assure that authentication events are highly controlled. Attack resumption - Stopping and resuming an attack is possible without worrying about losing your place in the attack or locking accounts. Multiprocessing - Speed up attacks using multiprocessing! By configuring the`parallel guess count, you're effectively telling BruteLoops how many usernames to guess in parallel. Logging - Each authentication event can optionally logged to disk. This information can be useful during red teams (https://www.kitploit.com/search/label/Red%20Teams) by providing customers with a detailed attack timeline that can be mapped back to logged events.
Dependencies
BruteLoops requires Python3.7 or newer and SQLAlchemy 1.3.0 (https://www.sqlalchemy.org/), the latter of which can be obtained via pip and the requirements.txt file in this repository: python3.7 -m pip install -r requirements.txt
Installation
git clone https://github.com/arch4ngel/bruteloops
cd bruteloops
python3 -m pip install -r requirements.txt
How do I use this Damn Thing?
Jeez, alright already...we can break an attack down into a few steps: Find an attackable service If one isn't already available in the example.py[1 (https://github.com/arch4ngel/BruteLoops/wiki/Using-example.py-to-Execute-Brute-Force-Attacks)] directory, build a callback Find some usernames, passwords, and credentials Construct a database by passing the authentication data to dbmanager.py[2 (https://github.com/arch4ngel/BruteLoops/wiki/Using-dbmanager.py-To-Manage-Databases)] If relevant, Enumerate or request the AD lockout policy to intelligently configure the attack Execute the attack in alignment with the target lockout policy[1 (https://github.com/arch4ngel/BruteLoops/wiki/Using-example.py-to-Execute-Brute-Force-Attacks)][3 (https://github.com/arch4ngel/BruteLoops/wiki/Explanation-of-Configuration-Parameters)][4 (https://github.com/arch4ngel/BruteLoops/wiki/Jitter-Time-Format-Specification)]
___________________________
@hacking_Attack
@Hacking_Video
http.basic_digest Generic HTTP basic digest auth
http.basic_ntlm Generic HTTP basic NTLM authentication
http.global_protect
Global Protect web interface
http.mattermost Mattermost login web interface
http.netwrix Netwrix web login
http.okta Okta JSON API
http.owa2010 OWA 2010 web interface
http.owa2016 OWA 2016 web interface
smb.smb Target a single SMB server
testing.fake Fake authentication module for training/testing
Key Features
Protocol agnostic - If a callback can be written in Python, BruteLoops can be used to attack it SQLite support - All usernames, passwords, and credentials are maintained in an SQLite database. A companion utility (dbmanager.py) that creates and manages input databases accompanies BruteLoops Spray and Stuffing Attacks in One Tool - BruteLoops supports both spray and stuffing attacks in the same attack logic and database, meaning that you can configure a single database and run the attack without heavy reconfiguration and confusion. Guess scheduling - Each username (https://www.kitploit.com/search/label/Username) in the SQLite database is configured with a timestamp that is updated after each authentication event. This means we can significantly reduce likelihood of locking accounts by scheduling each authentication event with precision. Fine-grained configurability to avoid lockout events - Microsoft's lockout policies can be matched 1-to-1 using BruteLoop's parameters: auth_threshold = Lockout Threshold max_auth_jitter = Lockout Observation Window Timestampes associated with each authentication event are tracked in BruteLoops' SQLite database. Each username receives a distinct timestamp to assure that authentication events are highly controlled. Attack resumption - Stopping and resuming an attack is possible without worrying about losing your place in the attack or locking accounts. Multiprocessing - Speed up attacks using multiprocessing! By configuring the`parallel guess count, you're effectively telling BruteLoops how many usernames to guess in parallel. Logging - Each authentication event can optionally logged to disk. This information can be useful during red teams (https://www.kitploit.com/search/label/Red%20Teams) by providing customers with a detailed attack timeline that can be mapped back to logged events.
Dependencies
BruteLoops requires Python3.7 or newer and SQLAlchemy 1.3.0 (https://www.sqlalchemy.org/), the latter of which can be obtained via pip and the requirements.txt file in this repository: python3.7 -m pip install -r requirements.txt
Installation
git clone https://github.com/arch4ngel/bruteloops
cd bruteloops
python3 -m pip install -r requirements.txt
How do I use this Damn Thing?
Jeez, alright already...we can break an attack down into a few steps: Find an attackable service If one isn't already available in the example.py[1 (https://github.com/arch4ngel/BruteLoops/wiki/Using-example.py-to-Execute-Brute-Force-Attacks)] directory, build a callback Find some usernames, passwords, and credentials Construct a database by passing the authentication data to dbmanager.py[2 (https://github.com/arch4ngel/BruteLoops/wiki/Using-dbmanager.py-To-Manage-Databases)] If relevant, Enumerate or request the AD lockout policy to intelligently configure the attack Execute the attack in alignment with the target lockout policy[1 (https://github.com/arch4ngel/BruteLoops/wiki/Using-example.py-to-Execute-Brute-Force-Attacks)][3 (https://github.com/arch4ngel/BruteLoops/wiki/Explanation-of-Configuration-Parameters)][4 (https://github.com/arch4ngel/BruteLoops/wiki/Jitter-Time-Format-Specification)]
___________________________
@hacking_Attack
@Hacking_Video
KitPloit - PenTest & Hacking Tools
Leading source of security tools, hacking tools, cybersecurity and network security. Learn about new tools and updates in one place.